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For Companies At a Glance
- Tasks: Design and build scalable data pipelines for a large-scale retail transformation.
- Company: Join a leading retail company driving data innovation.
- Benefits: Competitive daily rate, hybrid work model, and long-term project stability.
- Why this job: Work with cutting-edge cloud technologies and make a real impact on data solutions.
- Qualifications: Experience in data engineering, Snowflake, DBT, SQL, and cloud platforms.
- Other info: Collaborative team environment with opportunities for mentorship and growth.
The predicted salary is between 51000 - 85000 £ per year.
Contract: 6 months
Location: London - EC1M (Hybrid – minimum 2 days per week onsite)
Rate: £425/day (Inside IR35)
Start: ASAP
Positions: 4
The Opportunity
We are looking for experienced Senior Data Engineers to join a large-scale retail data transformation programme. You’ll work on modern cloud data platforms, building robust, scalable data pipelines that power analytics, reporting, and downstream data products. This is a hands-on role with strong exposure to Snowflake, DBT, cloud platforms (AWS/Azure) and modern engineering best practices. You’ll collaborate closely with architects, analysts, and business stakeholders, and play a key role in setting technical standards within the team.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines
- Build and optimise data transformations using DBT and SQL
- Implement and maintain data models (Data Vault experience highly desirable)
- Monitor, troubleshoot, and optimise production data pipelines
- Work with Snowflake to deliver high-performance analytics solutions
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Support data governance, data quality, and best engineering practices
- Mentor junior engineers and contribute to technical decision-making
Essential Skills & Experience
- Strong hands-on experience as a Senior Data Engineer
- Snowflake data warehouse experience
- DBT for data transformation and modelling
- Advanced SQL and Python
- Experience building pipelines using Airflow (or similar orchestration tools)
- Cloud experience on AWS and/or Azure
- Infrastructure-as-code exposure (e.g. Terraform)
- Git-based version control (GitHub, Azure DevOps)
- Strong communication and stakeholder engagement skills
Desirable Experience
- Data Vault (DV 2.0) modelling
- Data governance tools (e.g. Alation)
- Azure Data Lake, Delta Lake, Redis
- CI/CD using GitHub Actions or Azure DevOps
- Monitoring and observability for data platforms
Why Apply?
- Hybrid working with limited onsite requirement
- Long-term, well-funded programme
- Modern data stack and real-world scale
- Multiple positions available – strong team environment
Senior Data Engineer employer: Queen Square Recruitment Ltd
Contact Detail:
Queen Square Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might be working at companies you're interested in. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake, DBT, and cloud platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with ETL/ELT pipelines and how you've collaborated with cross-functional teams. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Read the Job Description Carefully: Before you start your application, make sure to read through the job description thoroughly. It’s packed with details about what we’re looking for in a Senior Data Engineer, and understanding these will help you tailor your application to stand out.
Showcase Your Relevant Experience: When writing your application, highlight your hands-on experience with Snowflake, DBT, and cloud platforms like AWS or Azure. We want to see how your skills align with our needs, so don’t hold back on sharing specific projects or achievements!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. Remember, we appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Queen Square Recruitment Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Snowflake, DBT, and cloud platforms like AWS or Azure. Brush up on your SQL and Python skills, as these will likely come up during technical discussions.
✨Showcase Your Experience
Prepare to discuss specific projects where you've designed and maintained ETL/ELT pipelines. Be ready to explain your role in optimising data transformations and how you’ve tackled challenges in previous positions. Real-world examples will make your experience stand out.
✨Collaboration is Key
Since this role involves working closely with architects, analysts, and business stakeholders, think of examples that demonstrate your teamwork and communication skills. Highlight any mentoring experiences you’ve had with junior engineers, as this shows leadership potential.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the data governance practices they follow, or how they measure success in their data transformation programme. This not only shows your interest but also helps you gauge if the company is the right fit for you.
